Published on
June 18, 2025
Read time
4 minutes

Berlin, Germany — 10th June 2025Sparrow, the AI-powered hub transforming how manufacturers manage industrial spare parts, today announced its solution is now live in over 150 manufacturing sites globally, marking a 50% increase in a year. This sharp acceleration reflects a broader market awakening: manufacturers are beginning to harness the optimisation potential of AI in an area long overlooked: spare parts management.

Until recently, spare parts management remained reactive and decentralised, largely because the technology to unify and optimise this data-rich domain simply wasn’t available. Now, with fit-for-purpose AI and digitisation tools on the rise, manufacturers have the means to bring spare parts management into strategic focus. Increasingly, they are turning to data and AI to clean catalogues, standardise material creation, and plan stock levels more intelligently.

“AI is changing the game—turning spare parts from a traditional cost centre into a strategic lever,” said Meir Veisberg, CEO of Sparrow.“With the right data and tools, manufacturers can empower their workforce, improve uptime, and streamline their supply chains—all by addressing this historically neglected area.”


Enterprise-Scale Adoption Fuels Growth

Sparrow’s growth has been driven by a combination of new customers embarking on their spare parts optimisation journey and continued multi-site expansion within leading industrial groups such as Bayer AG and Mahle GmbH.

This trend reflects not only confidence in the solution, but also a maturing understanding of the business case for standardising spare parts management across regions and divisions.

Among the common challenges these customers are solving:

  • Eliminating duplicate or obsolete parts from master data
  • Creating new materials quickly and accurately with AI-assisted workflows
  • Improving spare parts planning to optimise stock levels and reduce excess inventory—often cutting stock by up to 10% within six months



A Platform Built for Modern Industrial Realities

The company credits its growth to three core shifts:

  • Deep integration of AI, used for both data processing and decision-making
  • Enterprise-ready UX and scalability, allowing global teams to roll out rapidly
  • Focus on solving complete business problems with one integrated Hub, not just offering fragmented features

“Our mission has always been to apply technology with purpose—delivering real operational impact where it matters most,” said Meir Veisberg. “Now, as AI capabilities advance and adoption accelerates, we’re seeing customers unlock that value faster and more consistently.”


A Universal Challenge, from Pharmaceuticals to Heavy Industry

Regardless of sector, manufacturers face strikingly similar challenges when it comes to spare parts: fragmented catalogues, inconsistent material definitions, and outdated or duplicate entries that clog systems and waste resources. This is especially acute as many large organisations prepare for their transition to SAP S/4HANA, which demands clean, standardised master data as a prerequisite.

For decades, spare parts data was managed locally, often on disconnected ERPs or spreadsheets, with each site or country following its own taxonomy. This led to duplication, inflated inventories, and missed opportunities for strategic planning. It also made bundling orders across plants virtually impossible and resulted in confusion and inefficiencies in procurement, where buyers struggled to identify what was already available within their own networks.

Sparrow helps manufacturers break down those silos by clustering and harmonising data across sites, allowing them to consolidate their material base, implement shared planning logic, and enable smarter sourcing.

“There’s a huge opportunity in pooling data across locations,” said Meir Veisberg. “Once the foundation is clean, you can centralise governance, automate planning, and drive efficiencies at scale. This is where AI makes all the difference—scanning, deduplicating, and enriching data in ways that were never possible with manual methods.”

Whether it’s a pharma plant in Germany or a food facility in the Netherlands, the patterns are the same: ageing spare parts data, too much stock, slow material onboarding, and missed savings from decentralised procurement. Sparrow’s AI-based approach is proving to be the missing link in the digitisation of industrial operations.


Looking Ahead

Sparrow has doubled its team in the past year to meet growing demand and plans to deepen its presence across Europe and the United Kingdom. As enterprise manufacturers continue to recognise the strategic value of digitising their parts management, Sparrow’s leadership believes this growth trajectory is only beginning.


About Sparrow

Sparrow is the AI-powered intelligence hub built to eliminate complexity in industrial spare parts management. Founded in 2019 as Sparrow Networks GmbH and based in Berlin, Sparrow helps procurement, maintenance, and supply chain teams work together with confidence. By anticipating sourcing risks, identifying obsolete or surplus parts, and optimizing inventory, Sparrow empowers manufacturers to reduce downtime, cut waste, and build more resilient operations. Currently, Sparrow supports operations in over 150 locations worldwide. Trusted by leading companies in pharmaceuticals, automotive, and food & beverage, Sparrow transforms spare parts from a source of disruption into a strategic advantage.

For media enquiries, please contact:

Anne-Laure de Noblet
Head of Marketing
📧 anne.laure@sparrow.parts

From 100 to 150 Sites in A Year: Sparrow’s Momentum Mirrors Industry Shift Toward AI for Operations Optimisation